Browsing DŞHF, Klinik Bilimler Bölümü Koleksiyonu by Subject "Machine learning"
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Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning
(Springer, 2024)Objective: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms. Materials and methods: High-resolution ... -
Determination of growth and developmental stages in hand–wrist radiographs: Can fractal analysis in combination with artificial intelligence be used?
(Springer, 2024)Purpose: The goal of this work was to assess the classification of maturation stage using artificial intelligence (AI) classifiers. Methods: Hand–wrist radiographs (HWRs) from 1067 individuals aged between 7 and 18 years ...